CN221347133U - Yaw and pitch bearing data intelligent acquisition system of wind turbine generator - Google Patents
Yaw and pitch bearing data intelligent acquisition system of wind turbine generator Download PDFInfo
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Abstract
The utility model discloses an intelligent acquisition system for yaw and pitch bearing data of a wind turbine, which relates to the technical field of on-line monitoring of bearing states of wind turbines and comprises the following components: the device comprises a data signal acquisition unit, a yaw bearing data acquisition unit, a variable pitch bearing data acquisition unit and a data storage and transmission unit; firstly, the data signal acquisition unit performs corresponding data acquisition, then the yaw and pitch bearing data acquisition unit performs preprocessing on the acquired data, and then the processed data is temporarily stored and transmitted through the data storage and transmission unit. The utility model performs triggering type data acquisition by the intelligent working condition recognition algorithm, performs diversified and multi-channel data acquisition modes and devices by fusing acceleration signals, temperature signals and voiceprint signals, has offline data acquisition and storage, and simultaneously supports wired and wireless data transmission modes, thereby realizing the effective component acquisition, storage and transmission of fault impact signals of ultra-low-speed overweight parts.
Description
Technical Field
The utility model relates to the technical field of on-line monitoring of bearing states of wind turbines, in particular to an intelligent acquisition system for yaw and pitch bearing data of a wind turbine.
Background
The variable pitch bearing of the wind turbine is affected by factors such as design, manufacture, materials, installation process, operation and maintenance, and the like, and the internal structure of the bearing is easily damaged under the actions of long-term alternating load, impact moment, insufficient lubrication, and the like. The variable-pitch bearing is high in replacement difficulty and cost, long in shutdown time and large in fault loss. Therefore, it is necessary to monitor and analyze the internal state of the bearing by using an on-line monitoring means. Because of the working condition characteristics of low-speed heavy load and incomplete periodic rotation of the variable-pitch bearing, the vibration signals of the variable-pitch bearing are weak, and how to effectively acquire the weak signals is always an industrial difficulty, and an online monitoring device capable of effectively acquiring the operation data of the variable-pitch bearing at present belongs to the industry blank.
The existing wind turbine generator system state monitoring means are only suitable for traditional mechanical transmission structures, such as shaft transmission and gear transmission, and are characterized in that the bearing load is relatively low, the bearing load rotates at a high speed, the bearing load is complete periodic rotation, impact signals generated by various faults are strong and little in attenuation, effective signals can be acquired by using conventional sensors and data acquisition equipment, and the technical means are relatively mature after long-term development and iteration. However, for large turntable type slewing bearing components such as a variable-pitch bearing, the diameter is close to 3 meters, and the large turntable type slewing bearing components bear extremely large alternating load and overturning moment in the running process, and have the working characteristics of frequent change, low swinging speed, heavy load and the like, the rolling bodies are always in a micro-motion state, the existing conventional monitoring means can not realize fault early warning and diagnosis of the variable-pitch bearing, and the problems of faults and degradation of the variable-pitch bearing of a wind turbine generator are easy to gradually protrude in recent years along with the transition of service time of a fan, so that economic damage caused by the problems seriously affects the economic benefit of power generation enterprises.
Disclosure of utility model
The utility model aims to provide an intelligent acquisition system for yaw and pitch bearing data of a wind turbine, which realizes an intelligent algorithm for automatically identifying yaw and pitch actions of a fan based on an automatic data acquisition strategy and a storage transmission mode of working conditions of the fan, and synchronously acquires vibration, temperature and voiceprint data in multiple channels when judging that the yaw and pitch systems of the fan act, and is divided into 4 working conditions of stopping, pitch, running, yaw and running. In order to achieve the above purpose, the present utility model provides the following technical solutions:
the utility model provides an intelligent collection system for yaw and pitch bearing data of a wind turbine, which comprises a data signal collection unit, a yaw bearing data collection unit, a pitch bearing data collection unit and a data storage and transmission unit; wherein,
The data signal acquisition unit is used for synchronously acquiring vibration, temperature and sound data;
the yaw bearing data acquisition unit is used for vibration, temperature, sound data acquisition, data preprocessing, data storage and data transmission of the yaw bearing of the wind turbine generator;
The variable-pitch bearing data acquisition unit is used for vibration, temperature, sound data acquisition, data preprocessing, data storage and data transmission of the variable-pitch bearing of the wind turbine generator;
The data storage and transmission unit is used for performing front-end preprocessing on the data acquired by the data signal acquisition unit, performing temporary storage or caching, and transmitting the data to the server through a special network channel.
Further, the data signal acquisition unit includes: vibration, temperature signal acquisition unit and voiceprint signal acquisition unit; wherein,
The vibration and temperature signal acquisition unit is used for judging the yaw and pitch bearing operation working conditions through an intelligent algorithm, and different working conditions are matched with different data sampling bandwidths, time lengths and sampling frequencies; the device is used for collecting bearing temperature and environmental temperature in real time and collecting second-level data;
The voiceprint signal acquisition unit is used for amplifying and acquiring abnormal collision or friction sound of the bearing through the sound acquisition sensor and the preposed signal amplifier, and filtering environmental noise.
Further, the yaw bearing data acquisition unit specifically includes: a dual-axis vibration temperature sensor, a sound sensor and a yaw data collector; wherein,
The double-shaft vibration temperature sensor is used for collecting vibration and temperature data of the yaw bearing;
The sound sensor is used for collecting sound signals when the yaw bearing operates;
The yaw data collector is used for yaw bearing data collection strategy control, data preprocessing and data communication.
Further, in the yaw bearing data acquisition unit, the number of the biaxial vibration temperature sensors is 3; the number of the sound sensors is 1.
Further, the variable-pitch bearing data acquisition unit specifically comprises: the system comprises a biaxial vibration temperature sensor, a sound sensor and a variable pitch data acquisition unit; wherein,
The double-shaft vibration temperature sensor is used for collecting vibration and temperature data of the variable-pitch bearing;
the sound sensor is used for collecting sound signals during operation of the variable pitch shaft;
The variable pitch data collector is used for variable pitch bearing data collection strategy control, data preprocessing and data communication.
Further, in the variable-pitch bearing data acquisition unit, the number of the biaxial vibration temperature sensors is 3; the number of the sound sensors is 3.
Further, the storage space of the yaw bearing data acquisition unit and the pitch bearing data acquisition unit is not lower than 4GB.
Furthermore, the yaw bearing data acquisition unit and the pitch bearing data acquisition unit integrate 1 Ethernet interface, 1 wireless communication interface WLAN, support three operators of mobile, communication and telecommunication, 2 RS485 interfaces and support ModBus RTU protocol.
Further, the power supply voltage of the yaw bearing data acquisition unit and the pitch bearing data acquisition unit is 12V and 220VAC, the working temperature is-40 ℃ to +85 ℃, the atmospheric pressure is 80 kPa-106 kPa, the humidity is less than or equal to 95%, and the protection grade is IP65.
The utility model has the technical effects and advantages that:
The utility model performs triggering type data acquisition by the intelligent working condition recognition algorithm, performs diversified and multi-channel data acquisition modes and devices by fusing acceleration signals, temperature signals and voiceprint signals, has offline data acquisition and storage, and simultaneously supports wired and wireless data transmission modes, thereby realizing the effective component acquisition, storage and transmission of fault impact signals of ultra-low-speed overweight parts.
Additional features and advantages of the utility model will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the utility model. The objectives and other advantages of the utility model may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the embodiments of the present utility model or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the present utility model, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an intelligent acquisition system for yaw and pitch bearing data of a wind turbine generator;
FIG. 2 is a schematic diagram of the installation position of an intelligent acquisition system for yaw and pitch bearing data of a wind turbine generator;
FIG. 3 is a flow chart of a method for intelligently collecting yaw and pitch bearing data of a wind turbine.
Detailed Description
The following description of the embodiments of the present utility model will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present utility model, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the utility model without making any inventive effort, are intended to be within the scope of the utility model.
In order to solve the defects in the prior art, the utility model discloses an intelligent yaw and pitch bearing data acquisition system of a wind turbine generator, and fig. 1 is a schematic diagram of the intelligent yaw and pitch bearing data acquisition system of the wind turbine generator, as shown in fig. 1, corresponding data acquisition is firstly carried out by each sensor unit in a data signal acquisition unit, then the acquired data is preprocessed by the yaw and pitch bearing data acquisition unit, and then the processed data is temporarily stored and transmitted through a data storage and transmission unit.
Specifically, the system comprises a data signal acquisition unit, a yaw bearing data acquisition unit, a pitch bearing data acquisition unit and a data storage and transmission unit; wherein,
The data signal acquisition unit is used for synchronously acquiring vibration, temperature and sound data; comprising the following steps: vibration, temperature signal acquisition unit and voiceprint signal acquisition unit; wherein,
The vibration and temperature signal acquisition unit is used for judging the yaw and pitch-variable shaft operation working conditions through an intelligent algorithm, and different working conditions are matched with different data sampling bandwidths, time lengths and sampling frequencies; and the device is used for collecting bearing temperature and environmental temperature in real time and collecting second-level data.
The voiceprint signal acquisition unit is used for amplifying and acquiring abnormal collision or friction sounds of the bearing through the sound acquisition sensor and the preposed signal amplifier, and filtering environmental noise.
The data acquisition unit can realize 16 or more input channels, is provided with an independent 24-bit high-precision ADC (Analog to Digital Converter, analog-digital converter), refers to an electronic element for converting analog signals into digital signals, can synchronously acquire vibration, temperature and sound data, is provided with a data time-sharing feedback mechanism, avoids simultaneous feedback of data by multiple devices, causes network congestion, and has offline acquisition capability.
The yaw bearing detection unit is used for yaw bearing vibration, temperature, sound data acquisition, data preprocessing, data storage and data transmission; the method specifically comprises the following steps: 3 double-shaft vibration temperature sensors, 1 sound sensor and a yaw data collector;
Further, the dual-shaft vibration temperature sensor is used for yaw bearing vibration and temperature data acquisition; the sound sensor is used for collecting sound signals when the yaw bearing operates; the yaw data collector is used for yaw bearing data collection strategy control, data preprocessing and data communication.
The variable-pitch bearing detection unit is used for variable-pitch bearing vibration, temperature, sound data acquisition, data preprocessing, data storage and data transmission; the method specifically comprises the following steps: 3 double-shaft vibration temperature sensors, 3 sound sensors and a variable pitch data collector;
Further, the double-shaft vibration temperature sensor is used for vibration of the variable-pitch bearing and temperature data acquisition; the sound sensor is used for collecting sound signals during operation of the variable pitch shaft; the variable pitch data collector is used for variable pitch bearing data collection strategy control, data preprocessing and data communication.
The storage space of the data acquisition unit (comprising a yaw data acquisition unit and a pitch data acquisition unit) is not lower than 4GB, and when the communication between the acquisition unit and the server is abnormally interrupted, the acquisition unit can still acquire and store data according to a preset acquisition definition (can store for more than 3 weeks), and when the communication recovery is detected, the data is automatically transmitted to the server database; the equipment integrates 1 Ethernet interface (10M/100M/1000M self-adaptive TCP/IP), 1 wireless communication interface WLAN (protocol: IEEE 802.3,IEEE 802.3u), supports three major operators of mobile, communication and telecommunication, 2 RS485 interfaces, and supports ModBus RTU protocol; the on-line firmware upgrading is supported, remote setting, remote operation and remote upgrading can be realized, the disassembly and the assembly are convenient, the expansibility is good, the access requirements of other monitoring signals are met, and the wind turbine generators of different types can be adapted; in addition, the power supply voltage is 12V and 220VAC, the working temperature is-40 ℃ to +85 ℃, the atmospheric pressure is 80kPa to 106kPa, the humidity is less than or equal to 95 percent, and the protection grade is IP65.
The data storage and transmission unit refers to that after front-end preprocessing is performed on the data collected in the data signal collection unit, temporary storage (buffering) is performed, and then the data is transmitted to the server through a special network channel (wireless transmission or wired transmission).
Fig. 2 is a schematic diagram of an installation position of an intelligent yaw and pitch bearing data acquisition system of a wind turbine generator, as shown in fig. 2, 3 vibration temperature sensors and 1 sound sensor are respectively arranged on an inner ring of a bearing by a yaw bearing data acquisition unit, and the corresponding data signal acquisition unit is installed at a proper position in a fan cabin.
The variable-pitch bearing data acquisition units are respectively provided with 3 vibration temperature sensors and 3 sound sensors at the inner ring of the variable-pitch bearing, and the corresponding data signal acquisition units are arranged at the proper positions at the inner side of the fan hub.
The number of vibration temperature sensors and sound sensors can be adjusted according to the site situation in practical application.
The utility model also provides an intelligent collection method for yaw and pitch bearing data of the wind turbine, and FIG. 3 is a flow chart of the intelligent collection method for yaw and pitch bearing data of the wind turbine, as shown in FIG. 3, the method comprises the following steps:
And S1, starting to arrange and install a biaxial vibration temperature sensor and a sound sensor on a yaw bearing and a pitch bearing of the wind generating set.
Step S2, judging whether a fan is in yaw and pitch movement by reading working condition parameters such as pitch angle parameters, wind direction deviation and the like of a yaw bearing and a pitch bearing of a wind turbine generator, calculating and extracting characteristic values through a database, training a threshold through an intelligent algorithm, and if the fan is in pitch movement and in yaw movement, automatically starting an acquisition program by an intelligent acquisition system to synchronously acquire vibration signals, temperature signals and voiceprint signals of the yaw bearing and the pitch bearing; if the fan does not perform pitch motion or yaw motion, the non-working condition data are intermittently collected.
Step S3, after data acquisition is completed, the system automatically detects a network channel, judges whether communication is normal, and if so, the data enters a server fault diagnosis system database through a ring network and is stored locally; if the communication is abnormal, the data can be stored in the data collector offline, and after the communication is recovered, the data enters a server fault diagnosis system database through the ring network and is stored locally.
And S4, the fault diagnosis system processes and analyzes the data in the database and outputs a diagnosis result.
Finally, it should be noted that: the foregoing description is only illustrative of the preferred embodiments of the present utility model, and although the present utility model has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described, or equivalents may be substituted for elements thereof, and any modifications, equivalents, improvements or changes may be made without departing from the spirit and principles of the present utility model.
Claims (9)
1. The intelligent yaw and pitch bearing data acquisition system of the wind turbine generator is characterized by comprising a data signal acquisition unit, a yaw bearing data acquisition unit, a pitch bearing data acquisition unit and a data storage and transmission unit; wherein,
The data signal acquisition unit is used for synchronously acquiring vibration, temperature and sound data;
the yaw bearing data acquisition unit is used for vibration, temperature, sound data acquisition, data preprocessing, data storage and data transmission of the yaw bearing of the wind turbine generator;
The variable-pitch bearing data acquisition unit is used for vibration, temperature, sound data acquisition, data preprocessing, data storage and data transmission of the variable-pitch bearing of the wind turbine generator;
The data storage and transmission unit is used for performing front-end preprocessing on the data acquired by the data signal acquisition unit, performing temporary storage or caching, and transmitting the data to the server through a special network channel.
2. The intelligent collection system for yaw and pitch bearing data of a wind turbine according to claim 1, wherein the data signal collection unit comprises: vibration, temperature signal acquisition unit and voiceprint signal acquisition unit; wherein,
The vibration and temperature signal acquisition unit is used for judging the yaw and pitch bearing operation working conditions through an intelligent algorithm, and different working conditions are matched with different data sampling bandwidths, time lengths and sampling frequencies; the device is used for monitoring the bearing temperature and the environment temperature in real time and collecting second-level data;
The voiceprint signal acquisition unit is used for amplifying and acquiring abnormal collision or friction sound of the bearing through the sound acquisition sensor and the preposed signal amplifier, and filtering environmental noise.
3. The intelligent yaw bearing data acquisition system of the wind turbine generator according to claim 1 or 2, wherein the yaw bearing data acquisition unit specifically comprises: a dual-axis vibration temperature sensor, a sound sensor and a yaw data collector; wherein,
The double-shaft vibration temperature sensor is used for collecting vibration and temperature data of the yaw bearing;
The sound sensor is used for collecting sound signals when the yaw bearing operates;
The yaw data collector is used for yaw bearing data collection strategy control, data preprocessing and data communication.
4. The intelligent yaw and pitch bearing data acquisition system of the wind turbine generator according to claim 3, wherein the number of the biaxial vibration temperature sensors in the yaw bearing data acquisition unit is 3; the number of the sound sensors is 1.
5. The intelligent acquisition system for yaw and pitch bearing data of a wind turbine generator according to claim 1 or 2, wherein the pitch bearing data acquisition unit specifically comprises: the system comprises a biaxial vibration temperature sensor, a sound sensor and a variable pitch data acquisition unit; wherein,
The double-shaft vibration temperature sensor is used for collecting vibration and temperature data of the variable-pitch bearing;
the sound sensor is used for collecting sound signals during operation of the variable pitch shaft;
The variable pitch data collector is used for variable pitch bearing data collection strategy control, data preprocessing and data communication.
6. The intelligent acquisition system for yaw and pitch bearing data of a wind turbine generator according to claim 5, wherein the number of the biaxial vibration temperature sensors in the pitch bearing data acquisition unit is 3; the number of the sound sensors is 3.
7. The intelligent yaw and pitch bearing data acquisition system of the wind turbine generator according to claim 1, wherein the storage space of the yaw bearing data acquisition unit and the pitch bearing data acquisition unit is not lower than 4GB.
8. The intelligent yaw and pitch bearing data acquisition system of the wind turbine generator according to claim 7, wherein the yaw bearing data acquisition unit and the pitch bearing data acquisition unit integrate 1 Ethernet interface, 1 wireless communication interface WLAN, support three operators of mobile, communication and telecommunication, and support ModBus RTU protocol through 2 RS485 interfaces.
9. The intelligent yaw and pitch bearing data acquisition system of the wind turbine generator system according to claim 7, wherein the power supply voltage of the yaw bearing data acquisition unit and the pitch bearing data acquisition unit is 12V and 220VAC, the working temperature is-40 ℃ to +85 ℃, the atmospheric pressure is 80 kPa-106 kPa, the humidity is less than or equal to 95%, and the protection level is IP65.
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